Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.

Autor: Karel G M Moons, Joris A H de Groot, Walter Bouwmeester, Yvonne Vergouwe, Susan Mallett, Douglas G Altman, Johannes B Reitsma, Gary S Collins

Publikováno v: PLoS Medicine, Vol 11, Iss 10, p e1001744 (2014)

Carl Moons and colleagues provide a checklist and background explanation for critically appraising and extracting data from systematic reviews of prognostic and diagnostic prediction modelling studies. Please see later in the article for the Editors'

Externí odkaz: https://doaj.org/article/d0b08d9766d84137ba376480ba2503d0

Sample size for binary logistic prediction models : Beyond events per variable criteria

Autor: Maarten van Smeden, Karel G.M. Moons, Johannes B. Reitsma, Marinus J.C. Eijkemans, Douglas G. Altman, Gary S. Collins, Joris A. H. de Groot

Publikováno v: Statistical Methods in Medical Research, 28(8), 2455. SAGE Publications Ltd
Statistical Methods in Medical Research

Binary logistic regression is one of the most frequently applied statistical approaches for developing clinical prediction models. Developers of such models often rely on an Events Per Variable criterion (EPV), notably EPV ≥10, to determine the min

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00407d56247e6294fc3f46b8c8a15df5
https://dspace.library.uu.nl/handle/1874/387109

Concerns about composite reference standards in diagnostic research

Autor: Ian Schiller, Nandini Dendukuri, Maarten van Smeden, Karel G.M. Moons, Johannes B. Reitsma, Michael Libman, Joris A. H. de Groot

Publikováno v: BMJ (Online), 360. BMJ Publishing Group

Composite reference standards are used to evaluate the accuracy of a new test in the absence of a perfect reference test. A composite reference standard defines a fixed, transparent rule to classify subjects into disease positive and disease negative

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5aac6555f566b26a44f4b6da66c2a61
https://dspace.library.uu.nl/handle/1874/371343

Standardized mean differences cause funnel plot distortion in publication bias assessments

Autor: Joris A. H. de Groot, Kimberley E. Wever, Steven A. J. Chamuleau, Mira van der Naald, Joanna IntHout, Emily S. Sena, David W. Howells, Malcolm R. Macleod, Peter-Paul Zwetsloot

Publikováno v: eLife, Vol 6 (2017)
eLife
eLife, 6. eLife Sciences Publications
Elife, 6
Zwetsloot, P, Van Der Naald, M, Sena, E S, Howells, D W, Inthout, J, De Groot, J A, Chamuleau, S A, Macleod, M R & Wever, K E 2017, ' Standardized mean differences cause funnel plot distortion in publication bias assessments ', eLIFE, vol. 6 . https://doi.org/10.7554/eLife.24260

Contains fulltext : 177257.pdf (Publisher’s version ) (Open Access) Meta-analyses are increasingly used for synthesis of evidence from biomedical research, and often include an assessment of publication bias based on visual or analytical detection

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f24293636f2bc10104ca3c2a2df7f246
https://elifesciences.org/articles/24260

A generic nomogram for multinomial prediction models: theory and guidance for construction

Autor: Joris A. H. de Groot, Stavros Nikolakopoulos, Johannes B. Reitsma, Maarten van Smeden, Karel G.M. Moons, Loes C.M. Bertens

Publikováno v: Diagnostic and Prognostic Research
Diagnostic and Prognostic Research, Vol 1, Iss 1, Pp 1-7 (2017)
Diagnostic and Prognostic Research, 1(8)

Background The use of multinomial logistic regression models is advocated for modeling the associations of covariates with three or more mutually exclusive outcome categories. As compared to a binary logistic regression analysis, the simultaneous mod

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f10306b2133f24caa5aa8d839ea64a16
https://doi.org/10.1186/s41512-017-0010-5